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Flux Image

该 Skill 通过 AceDataCloud 的 Flux 接口按文本提示生成图像、使用 kontext 模型按指令编辑图像,并支持 FLUX 3 文生视频、图生视频、视频转视频与草稿增强。请求默认异步提交,需轮询任务状态;需配置访问令牌,可选 MCP 工具调用。

acedatacloud
acedatacloud
热度 78.00
最近更新 2026-10-12 00:24:26
分类:创作依赖:第三方 API / MCP 服务 / 代码执行应用场景:图像生成 / 视频编辑 / API 集成

安装技能

复制下面的话术发给你的 Agent,它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill: npx secure-skills-cli add acedatacloud/flux
Metadata
name
flux-image
description
Generate and edit Flux images or generate FLUX 3 videos via AceDataCloud API. Use when creating images from text prompts, editing existing images with text instructions, or when high-quality image generation is needed. Supports image models plus text/image/video generation and temporary owned video drafts.
license
Apache-2.0
metadata
{"author":"acedatacloud","version":"1.0"}
compatibility
Requires ACEDATACLOUD_API_TOKEN in .env file (get an API key at https://platform.acedata.cloud/console/applications). Optionally pair with mcp-flux-pro for tool-use.

Flux Image Generation

Generate and edit images through AceDataCloud's Flux API.

First-time setup

  1. Install the official Skill with clawhub install @acedatacloud/flux. Check that the ClawHub publisher is @acedatacloud.
  2. Sign in at AceDataCloud → Applications, open General application, and check Flux access, balance, and current pricing. Copy its API key, or select Manage Keys → Create for a separate key. Copy the key value without Bearer ; a platform-... management token is not a service API key.
  3. If you enable Allowed APIs restrictions, include /flux/images and /flux/tasks. Advanced workflows below may call additional routes.
  4. On the OpenClaw Gateway host, put ACEDATACLOUD_API_TOKEN=your_api_key_here in ~/.openclaw/.env, then restart the Gateway and start a new session. For a direct terminal test, run export ACEDATACLOUD_API_TOKEN="your_api_key_here" in that shell. Never put the key in a prompt or commit an .env file.
  5. Run the Quick Start below. If it returns a task ID, query that same task until it finishes; do not submit a second billable generation just to check progress.

Illustrated key setup, first run, and troubleshooting · Token details

Quick Start

curl -X POST https://api.acedata.cloud/flux/images \
  -H "Authorization: Bearer $ACEDATACLOUD_API_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"action": "generate", "prompt": "a cat wearing a space helmet, photorealistic", "model": "flux-dev", "async": true}'

Async: See async task polling. Poll via POST /flux/tasks with {"id": "..."}.

Models

Model Quality Speed Sizes Best For
flux-dev Good Fast 256–1440px Quick generation (default)
flux-pro High Medium 256–1440px Production work
flux-2-klein Good Fastest 256–1440px Compact / lowest-latency Flux 2 generation
flux-2-flex High Fast 256–1440px Faster high-quality generation
flux-2-pro Higher Medium 256–1440px Better prompt following
flux-2-max Highest Slow 256–1440px Maximum quality generation
flux-kontext-pro High Medium Aspect ratios Image editing
flux-kontext-max Highest Slow Aspect ratios Complex editing

Generate Images

POST /flux/images
{
  "prompt": "a minimalist logo of a mountain",
  "action": "generate",
  "model": "flux-2-pro",
  "size": "1024x1024",
  "count": 1
}

Size Options

For dev/pro/flux-2 (pixel dimensions):

  • "1024x1024", "1344x768", "768x1344", "1024x576", "576x1024"

For kontext (aspect ratios):

  • "1:1", "16:9", "9:16", "4:3", "3:4", "3:2", "2:3", "21:9", "9:21"

Edit Images

Use kontext models for text-guided image editing:

POST /flux/images
{
  "prompt": "change the background to a beach sunset",
  "action": "edit",
  "image_url": "https://example.com/photo.jpg",
  "model": "flux-kontext-pro"
}

Gotchas

  • Use pixel dimensions (e.g., "1024x1024") with dev/pro/flux-2 models, aspect ratios (e.g., "16:9") with kontext models
  • Editing requires kontext models (flux-kontext-pro or flux-kontext-max) — other models only support generation
  • count parameter generates multiple images in one request (increases cost proportionally)
  • flux-2-klein is the lightest Flux 2 model — useful when latency matters more than peak quality
  • flux-2-max produces highest quality but is slowest — use dev/klein/flex for iteration and max for final output
  • All generation is async — always set "callback_url" to get a task id immediately, then poll /flux/tasks using {"id":"<task_id>"} or {"ids":[...],"action":"retrieve_batch"}

MCP: pip install mcp-flux-pro | Hosted: https://flux.mcp.acedata.cloud/mcp | See all MCP servers

FLUX 3 video tools

POST /flux/videos generates videos with action=generate (default). Use mode=t2v/i2v/v2v/draft_enhance. T2V needs prompt; I2V also needs keyframes; V2V also needs start_video. Normal video requests support hd/fhd/qhd/uhd, integer duration 5–20 seconds (V2V up to 15) or auto, draft and generate_audio flags. Preserve explicit false.

Draft enhancement uses an owned platform draft_task_id and requires its temporary cache to remain available. It does not promise indefinite retention.

Companion MCP tool: flux_generate_video. CLI command: flux video --request-file. MCP/CLI requests submit asynchronously by default and are polled through the existing /flux/tasks endpoint. For raw HTTP requests, set async=true to receive a task ID immediately. Generation charges use actual output seconds; do not substitute requested duration for measured final usage.